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a2856d3b92
* restructure: Python samples into progressive 01-05 layout - 01-get-started/: 6 numbered steps (hello agent → hosting) - 02-agents/: all agent concept samples (tools, middleware, providers, etc.) - 03-workflows/: ALL existing workflow samples preserved as-is - 04-hosting/: azure-functions, durabletask, a2a - 05-end-to-end/: demos, evaluation, hosted agents - Old files moved to _to_delete/ for review - Added AGENTS.md with structure documentation - autogen-migration/ and semantic-kernel-migration/ preserved at root * fix: switch to AzureOpenAI Foundry, fix CI failures - Switch all 01-get-started samples to AzureOpenAIResponsesClient with Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential) - Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes - Fix test paths in packages/ that referenced old getting_started/ dirs: durabletask conftest + streaming test, azurefunctions conftest, devui conftest + capture_messages + openai_sdk_integration - Fix workflow_as_agent_human_in_the_loop.py import (sibling import) - Update hosting READMEs and tool comment paths - Replace root README.md with new structure overview - Update AGENTS.md to document Azure OpenAI Foundry as default provider * cleanup: remove _to_delete folder, copy resource files to active dirs All files in _to_delete/ were either: - Exact duplicates of files in the new structure (240 files) - Same file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since active samples reference them. * fix: address PR review comments, centralize resources, remove root duplicates - Fix type annotation in 04_memory.py (string union -> proper types) - Fix old sample paths in observability files - Fix grammar/spelling in observability samples - Move sample_assets/ and resources/ to shared/ folder - Remove 8 duplicate observability files from 02-agents root - Update resource path references in multimodal_input and provider samples * fix: update broken links from old getting_started paths to new structure - Update relative paths in READMEs: getting_started/ → 01-get-started/, 02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/ - Fix absolute GitHub URLs in package READMEs - Fix broken link in ollama package README * fix: convert absolute GitHub URLs to relative paths for link checker Absolute URLs to python/samples/ on main branch 404 until PR merges. Converted to relative paths that linkspector can verify locally. * fix: update link for handoff sample moved to orchestrations/ * fix: update chatkit-integration README path from demos/ to 05-end-to-end/ * fix: update broken links in orchestrations README to match flat directory structure
120 lines
4.4 KiB
Python
120 lines
4.4 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""File-based AttachmentStore implementation for ChatKit.
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This module provides a simple AttachmentStore implementation that stores
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uploaded files on the local filesystem. In production, you should use
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cloud storage like S3, Azure Blob Storage, or Google Cloud Storage.
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"""
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from pathlib import Path
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from typing import TYPE_CHECKING, Any
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from chatkit.store import AttachmentStore
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from chatkit.types import Attachment, AttachmentCreateParams, FileAttachment, ImageAttachment
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from pydantic import AnyUrl
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if TYPE_CHECKING:
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from store import SQLiteStore
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class FileBasedAttachmentStore(AttachmentStore[dict[str, Any]]):
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"""File-based AttachmentStore that stores files on local disk.
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This implementation stores uploaded files in a local directory and provides
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upload URLs that point to the FastAPI upload endpoint. It supports both
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image and file attachments.
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Features:
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- Stores files in a local uploads directory
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- Generates upload URLs for two-phase upload
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- Generates preview URLs for images
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- Proper cleanup on deletion
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Note: This is for demonstration purposes. In production, use cloud storage
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with signed URLs for better security and scalability.
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"""
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def __init__(
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self,
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uploads_dir: str = "./uploads",
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base_url: str = "http://localhost:8001",
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data_store: "SQLiteStore | None" = None,
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):
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"""Initialize the file-based attachment store.
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Args:
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uploads_dir: Directory where uploaded files will be stored
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base_url: Base URL for generating upload and preview URLs
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data_store: Optional data store to persist attachment metadata
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"""
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self.uploads_dir = Path(uploads_dir)
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self.base_url = base_url.rstrip("/")
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self.data_store = data_store
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# Create uploads directory if it doesn't exist
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self.uploads_dir.mkdir(parents=True, exist_ok=True)
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def get_file_path(self, attachment_id: str) -> Path:
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"""Get the filesystem path for an attachment."""
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return self.uploads_dir / attachment_id
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async def delete_attachment(self, attachment_id: str, context: dict[str, Any]) -> None:
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"""Delete an attachment and its file from disk."""
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file_path = self.get_file_path(attachment_id)
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if file_path.exists():
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file_path.unlink()
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async def create_attachment(self, input: AttachmentCreateParams, context: dict[str, Any]) -> Attachment:
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"""Create an attachment with upload URL for two-phase upload.
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This creates the attachment metadata and returns upload URLs that
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the client will use to POST the actual file bytes.
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"""
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# Generate unique ID for this attachment
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attachment_id = self.generate_attachment_id(input.mime_type, context)
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# Generate upload URL that points to our FastAPI upload endpoint
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upload_url = f"{self.base_url}/upload/{attachment_id}"
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# Create appropriate attachment type based on MIME type
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if input.mime_type.startswith("image/"):
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# For images, also provide a preview URL
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preview_url = f"{self.base_url}/preview/{attachment_id}"
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attachment = ImageAttachment(
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id=attachment_id,
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type="image",
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mime_type=input.mime_type,
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name=input.name,
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upload_url=AnyUrl(upload_url),
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preview_url=AnyUrl(preview_url),
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)
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else:
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# For files, just provide upload URL
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attachment = FileAttachment(
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id=attachment_id,
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type="file",
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mime_type=input.mime_type,
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name=input.name,
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upload_url=AnyUrl(upload_url),
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)
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# Save attachment metadata to data store so it's available during upload
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if self.data_store is not None:
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await self.data_store.save_attachment(attachment, context)
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return attachment
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async def read_attachment_bytes(self, attachment_id: str) -> bytes:
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"""Read the raw bytes of an uploaded attachment.
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This is used by the ThreadItemConverter to create base64-encoded
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content for sending to the Agent Framework.
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"""
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file_path = self.get_file_path(attachment_id)
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if not file_path.exists():
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raise FileNotFoundError(f"Attachment {attachment_id} not found on disk")
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return file_path.read_bytes()
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